Evidence map›Paper›PMID 41507342›Full record

ArticleNature ecology & evolution2026

Projected human land-use pressures and natural habitat conversion risk within global terrestrial protected areas.

Guangdong Li, Zhenbo Wang, Siao Sun, Wei Qi, James E M Watson

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Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Guangdong LiInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. ligd@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-5691-6112
Zhenbo WangInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. wangzb@igsnrr.ac.cn.ORCID http://orcid.org/0000-0001-5342-0613
Siao SunInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-6860-3639
Wei QiInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
James E M WatsonSchool of the Environment, The University of Queensland, Brisbane, Queensland, Australia. james.watson@uq.edu.au.ORCID http://orcid.org/0000-0003-4942-1984

Funding

National Natural Science Foundation of China (National Science Foundation of China) 42121001
6 · The paper itself

Abstract

A key target in the Kunming-Montreal Global Biodiversity Framework is to conserve at least 30% of global lands through protected areas and other effective area-based conservation measures to mitigate biodiversity loss. However, recent research indicates extensive habitat destruction within the global terrestrial protected area network and it is unknown how future, predictable risks of habitat destruction may severely undermine this target. Here, using high-resolution satellite datasets and machine learning models, we provide a global assessment of likely future human land-use expansion and associated natural habitat conversion risk within the terrestrial protected area estate under various socio-economic and climate scenarios. Human land use within protected areas is projected to rise by 27.50-51.17% by 2050 under four shared socio-economic pathway (SSP) scenarios. Consequently, 31.03-39.07% of terrestrial vertebrate species are expected to experience increases in human-dominated land uses inside protected areas. Protected areas in sub-Saharan Africa, South America and Southeast Asia are particularly at risk, where the need to balance food security, urbanization and biodiversity conservation presents substantial challenges. The SSP5-Representative Concentration Pathway 8.5 (RCP8.5) scenario is projected to exacerbate natural habitat conversion most severely, while SSP3-RCP7.0 and SSP2-RCP4.5 have comparatively lower impacts. Our findings underscore the necessity of addressing accelerated natural habitat conversion, ensuring the resilience of both existing and newly established protected areas against future threats.

Indexed as

Anthropogenic EffectsConservation of Natural ResourcesHuman ActivitiesBiodiversityHumansModels, TheoreticalSpatio-Temporal Analysis

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.